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Remote Embedded Ai Jobs in Boston, MA (NOW HIRING)

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what ... S. government security clearance in the future.' This is NOT a fully remote position! Required ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

Principal Product Manager

Boston, MA · On-site +1

$164K - $247K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're building the first AI-powered platform purpose-built for hardware product development. It ... Remote-first, with preference for candidates in Boston, Seattle, Los Angeles, or other cities with ...

Vice President, Client Partner

Boston, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote Description As the owner of a high-value portfolio of enterprise accounts, the VP, Client ... Maintain proactive communication with the Executive Buyer to stay embedded in the client's daily ...

... PSL), embedded within our mergers and acquisitions practice group. This is a high-impact, non ... This position is available on a hybrid or fully remote basis. About the Role As PSL, you will serve ...

Staff GRC Engineer (Remote)

Boston, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Shape and define ezCater's AI Governance strategy with stakeholders across the Legal, Data ... embedded control patterns where appropriate. * Expand data security policy and program quality

WFP Manager

Boston, MA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI does not replace humans. It repositions us to a place no system can follow: understanding ... Remote / Hybrid - Chicago, New York, Toronto (Canada) What You'll Architect As a Manager ...

Staff GRC Engineer (Remote)

Boston, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Shape and define ezCater's AI Governance strategy with stakeholders across the Legal, Data ... embedded control patterns where appropriate. * Expand data security policy and program quality

Senior Manager, Data Security

Boston, MA · On-site +1

$124K - $170K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... Drive active adoption of the latest AI-assisted engineering and security tools across the team ...

Director of UX

Boston, MA · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

... AI-driven analytics, and enterprise technology. The firm's track record of delivering scalable ... We're seeking an experienced Director of User Experience to lead our embedded UX team serving a ...

Showing results 21-40

Remote Embedded Ai information

See Boston, MA salary details

$76K

$166.6K

$189K

How much do remote embedded ai jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote embedded ai in Boston, MA is $166,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,900.00 and $187,900.00 per year, depending on experience, location, and employer.

What is a remote embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

What are some common challenges faced by remote embedded AI engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.
What are the most commonly searched types of Embedded Ai jobs in Boston, MA? The most popular types of Embedded Ai jobs in Boston, MA are:
What are popular job titles related to Remote Embedded Ai jobs in Boston, MA? For Remote Embedded Ai jobs in Boston, MA, the most frequently searched job titles are:
What cities near Boston, MA are hiring for Remote Embedded Ai jobs? Cities near Boston, MA with the most Remote Embedded Ai job openings:

Distinguished Engineer, Full Stack (Remote Eligible)

Capital One

Cambridge, MA • On-site, Remote

Full-time

Posted 29 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks


Job description

Distinguished Engineer, Full Stack (Remote Eligible)

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.

You will work alongside our talented team of developers, AI/ML experts, data analysts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.

Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

In this role, you will work with our Capital Markets and Financial Planning Technology teams as well as the broader Finance Technology Distinguished Engineer community to drive architectural excellence, establish AI-native engineering standards, and deliver the next generation of liquidity management, predictive analytics and financial planning infrastructure that powers Capital One's most consequential financial decisions.

If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.

Key responsibilities:

  • Articulate and evangelize a bold technical vision for your domain

  • Decompose complex problems into practical and operational solutions

  • Ensure the quality of technical design and implementation

  • Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability

  • Continue learning and injecting advanced technical knowledge into our community

  • Handle several projects simultaneously, balancing your time to maximize impact

  • Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community

  • Lead proof-of-concept development for emerging AI frameworks and architectural patterns

  • Collaborate with other Finance Technology towers reviewing architectures and designs outside your immediate domain and contributing a cross-cutting perspective that raises the bar org-wide

  • Champion AIOps practices - driving platform reliability through AI-assisted anomaly detection, automated remediation, and predictive alerting across the portfolio

Basic Qualifications:

  • Bachelor's Degree

  • At least 7 years of experience in the following:

    • Software engineering and solution architecture

    • Enterprise architecture and design patterns

    • Designing and building distributed HPC and ML systems

    • Full ML development lifecycle using AI and ML frameworks

    • Cloud computing (AWS, Microsoft Azure, Google Cloud)

    • Data engineering

Preferred Qualifications:

  • Bachelor's or Master's in Computer Science, Applied Mathematics, or a related technical field

  • 10+ years of experience in one or more of: software engineering and solution architecture, enterprise architecture and design patterns, distributed HPC and ML systems, ML development lifecycle, cloud computing, or data architecture

  • 10+ years of hands-on coding in commonly used languages Python, Java, Go, Scala, JavaScript/TypeScript, or similar; you are a working engineer, not a former engineer

  • 8+ years owning the full SDLC, conception through architecture, implementation, testing, deployment, and production support; you have been paged and you have fixed it

  • Demonstrated AI-native engineering practice across all three layers:

    • Daily use of AI coding assistants to accelerate productivity, utilizing capabilities well beyond basic code completion

    • Spec/intent driven development

    • AI embedded in CI/CD and SDLC tooling - test generation, spec validation, code review augmentation

    • Production experience building LLM-backed or agentic systems - prompt engineering, evaluation frameworks, observability, and guardrails included

  • Experience working directly with quantitative analysts or data scientists - model development lifecycles, feature pipelines, backtesting, ML deployment, and the rigor to validate what a model is actually doing

Capital One is open to hiring a Remote Employee for this opportunity.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer


Cambridge, MA: $269,100 - $307,200 for Distinguished Engineer


McLean, VA: $269,100 - $307,200 for Distinguished Engineer


New York, NY: $293,600 - $335,100 for Distinguished Engineer


Richmond, VA: $244,700 - $279,200 for Distinguished Engineer







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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